Triple

T15567602
Position Surface form Disambiguated ID Type / Status
Subject Ourém E374155 entity
Predicate locatedNear P294 FINISHED
Object Batalha E374154 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Batalha | Statement: [Ourém, locatedNear, Batalha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batalha
Context triple: [Ourém, locatedNear, Batalha]
  • A. Batalha chosen
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • B. Bataille
    Bataille is a French surname most famously associated with Georges Bataille, the influential 20th-century writer and philosopher known for his work on eroticism, transgression, and the sacred.
  • C. Bitwa
    "Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
  • D. Kampen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • E. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.